flatten() and ravel() for 1D conversion in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to convert the 2D array to 1D using flatten().

NumPy

import numpy as np
arr = np.array([[1, 2], [3, 4]])
flat_arr = arr.[1]()

Drag options to blanks, or click blank then click option'

Aravel

Bflatten

Creshape

Dresize

Attempts:

3 left

💡 Hint

Common Mistakes

Using reshape instead of flatten()

Using resize which modifies the array in-place

Using ravel() which returns a view, not a copy

The flatten() method returns a copy of the array collapsed into one dimension.

2fill in blank

medium

Complete the code to convert the 2D array to 1D using ravel().

NumPy

import numpy as np
arr = np.array([[5, 6], [7, 8]])
raveled_arr = arr.[1]()

Drag options to blanks, or click blank then click option'

Aravel

Bflatten

Creshape

Dresize

Attempts:

3 left

💡 Hint

Common Mistakes

Using flatten() which returns a copy instead of a view

Using reshape which requires specifying shape

Using resize which changes the array size

The ravel() method returns a flattened view of the array when possible, which is more memory efficient.

3fill in blank

hard

Fix the error in the code to flatten the array correctly.

NumPy

import numpy as np
arr = np.array([[9, 10], [11, 12]])
flat_arr = arr.[1]()

Drag options to blanks, or click blank then click option'

Aflatten()

Bflatten

Cravel()

Dravel

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting parentheses after method name

Using attribute name without calling it

Confusing flatten and ravel without parentheses

Methods flatten() and ravel() require parentheses to be called. Without parentheses, they are just references to the method.

4fill in blank

hard

Fill both blanks to create a 1D array from 2D using flatten() and check its type.

NumPy

import numpy as np
arr = np.array([[13, 14], [15, 16]])
flat_arr = arr.[1]()
arr_type = type([2])

Drag options to blanks, or click blank then click option'

Aflatten

Bravel

Cflat_arr

Darr

Attempts:

3 left

💡 Hint

Common Mistakes

Checking type of original array instead of flattened array

Using ravel instead of flatten for this task

Not calling the method with parentheses

Use flatten() to get a 1D copy, then check the type of the flattened array variable.

5fill in blank

hard

Fill all three blanks to flatten the array with ravel(), modify the first element, and print the original array.

NumPy

import numpy as np
arr = np.array([[17, 18], [19, 20]])
raveled_arr = arr.[1]()
raveled_arr[0] = [2]
print(arr[0, 0] == [3])

Drag options to blanks, or click blank then click option'

Aflatten

Bravel

C100

D17

Attempts:

3 left

💡 Hint

Common Mistakes

Using flatten() which returns a copy, so original array won't change

Not modifying the first element correctly

Checking original array value incorrectly

Using ravel() returns a view, so modifying it changes the original array. Setting first element to 100 updates arr[0,0] to 100.